Agent skill

Unstuck

by Q00 in Q00/ouroboros

Break through stagnation with lateral thinking personas — single or multi-persona debate

MITAuto-check passedAgent Workflows

Install Unstuck

skills CLI
$ npx skills add Q00/ouroboros --skill unstuck -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Q00/ouroboros unstuck --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Q00/ouroboros.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/unstuck .claude/skills/unstuck && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
unstuck
GitHub stars
6.2k
Token cost
~4.9k tokens
SKILL.md length
2,112 words
Files
1
Skills in repo
23
Repo updated
First seen
Licence
MIT

At a glance

Break through stagnation with lateral thinking personas — single or multi-persona debate

  • Works in 4 steps: Parse args → mode → Gather required context before the MCP… → Always call ouroboros_lateral_think… → …
  • Agent Workflows work in your project
  • SKILL.md covers Usage, Personas (Lateral Pool), When to Call and Instructions, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Unstuck is an agent skill from Q00/ouroboros. Break through stagnation with lateral thinking personas — single or multi-persona debate

Its SKILL.md is about 4.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows. The repository describes itself as: Agent OS: the agent gets smarter on its own. We just hold the line: Interview-gated, staged evaluation, budgeted evolution loop. MCP server, 14 runtimes: Claude Code, Codex CLI… The licence is MIT.

When your agent uses it

  • Agent Workflows work in your project

Example prompts

  • “/unstuck”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Parse args → mode
  2. Gather required context before the MCP call
  3. Always call ouroboros_lateral_think (routing contract)
  4. Branch on the handler's response shape

What it can do on your machine

Read from SKILL.md and the folder at commit f587795. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Unstuck loads about 4.9k tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 2,112 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~4.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Q00/ouroboros at commit f587795, republished under its MIT licence (© Q00). 2,112 words, ~4,916 tokens.

Download SKILL.mdSave it as .claude/skills/unstuck/SKILL.md (or your agent's skills folder).
name
unstuck
description
Break through stagnation with lateral thinking personas — single or multi-persona debate
aliases
stuck, lateral

/ouroboros:unstuck

Break through stagnation with lateral thinking personas. Two modes:

  • Solo — one persona reframes the problem (fast, cheap).
  • Debate — multiple personas run in parallel as sub-agents and the user picks the verdict (visual, thorough).

Usage

ooo lateral                       # debate (default) — all 5 lateral personas
ooo lateral <persona>             # solo — single persona
ooo lateral debate <p1> <p2> ...  # debate with explicit members
ooo lateral @<preset>             # debate with preset (Phase 1: only @all = 5 personas)

Trigger keywords: "I'm stuck", "think sideways", "ooo lateral", "/ouroboros:unstuck".

Personas (Lateral Pool)

The lateral pool is stateless mindset personas only — five reframing lenses. Stateful roles (evaluator, qa-judge, ontologist, socratic-interviewer, etc.) are NOT mixed into this pool; they have their own SKILLs.

PersonaStyleWhen to Use
hacker"Make it work first, elegance later"When overthinking blocks progress
researcher"What information are we missing?"When the problem is unclear
simplifier"Cut scope, return to MVP"When complexity is overwhelming
architect"Restructure the approach entirely"When the current design is wrong
contrarian"What if we're solving the wrong problem?"When assumptions need challenging

When to Call

Direct user invocation — ooo lateral … from the prompt.

Autonomous chain from another SKILL — when you (the main session) are operating in another SKILL's persona (e.g., socratic-interviewer during ooo interview, or any agent role) and judge that the current question requires multi-perspective deliberation, you MAY invoke this SKILL on your own. No forced trigger; this is your self-assessment. After the debate, summarize the options for the user, return to the original SKILL's flow, and let the user decide. The user will see the sub-agent fan-out as it happens — that visibility is the point.

Instructions

Step 1 — Parse args → mode

Parse the user's argument string (or your autonomous-chain intent) into a mode (solo / debate):

InputModeMembers
no argsdebateall 5 lateral personas
debate (keyword alone)debateall 5 lateral personas
<persona> (e.g., hacker)solothat one persona
debate <p1> <p2> ...debatethe listed personas
@alldebateall 5 lateral personas
@<unknown-preset>errorreject + list known presets
<unknown-persona>errorreject + list the 5 lateral personas
<persona1> <persona2> ... (no debate keyword)errorreject + suggest ooo lateral debate <p1> <p2>

Validate every persona name against the lateral pool above. If invalid, emit a brief error message naming the valid personas — do NOT silently coerce. Multiple persona tokens without the explicit debate keyword are rejected to keep the syntax unambiguous.

Step 2 — Gather required context before the MCP call

ouroboros_lateral_think hard-fails if either problem_context or current_approach is empty (LateralThinkHandler.handle in src/ouroboros/mcp/tools/lateral_think_handler.py). A bare ooo lateral from a fresh session has neither — calling MCP directly would crash before any persona work. Resolve both fields before Step 3, in this order:

  1. Reuse session state. If a parent SKILL is invoking this one (autonomous chain) or the current Claude Code / Codex session has clearly recent stuck-point context, extract it. Build:
    • problem_context — what the user is stuck on (1–3 sentences, current state of the world).
    • current_approach — what has been tried so far (1–3 sentences). For a brand-new attempt, this can be "none yet — first attempt".
    • failed_attempts (optional) — short list of prior failures, when the user has volunteered them.
  2. If either field is unrecoverable, ask the user one short combined question before going further (this applies to both solo and debate — the handler requires both fields either way):

    "Two things I need before lateral thinking can run: (1) what are you stuck on right now, (2) what have you already tried? A sentence each is enough." Wait for the answer. Do not invent or paraphrase past turns into these fields if you are not certain — current_approach="not specified" is acceptable, fabricated content is not.

  3. Only when both fields are populated, proceed to Step 3.

This pre-call branch applies to solo and debate. Skipping it makes ooo lateral (no args, fresh session) reliably error.

Step 3 — Always call ouroboros_lateral_think (routing contract)

Per the ooo routing contract in src/ouroboros/codex/ouroboros.md, every ooo lateral invocation MUST route through the MCP tool — solo and debate, in every runtime. This SKILL never substitutes a direct sub-agent fan-out for the MCP call.

  1. Use the active runtime's tool-discovery capability with query "+ouroboros lateral" to load ouroboros_lateral_think (often prefixed, e.g., mcp__plugin_ouroboros_ouroboros__ouroboros_lateral_think). Deferred tools won't appear until runtime tool discovery runs.
  2. Invoke the tool with the parsed mode and the context from Step 2:
    • Solo: persona=<one>, problem_context, current_approach, failed_attempts.
    • Debate: personas=[...], problem_context, current_approach, failed_attempts.
  3. If the tool is not callable even after discovery — neither already exposed nor loadable (an empty discovery result for an already-exposed tool is expected, not a failure) — stop and report that the MCP dispatch surface is broken — same rule the contract applies to ooo auto. Do not improvise a sub-agent fan-out as a workaround; that bypasses the contract the bot review explicitly flagged.

The MCP call is cheap. The handler's inline path is a deterministic prompt builder — it constructs per-persona reframing prompts via LateralThinker.generate_alternative (LateralThinkHandler.handle in src/ouroboros/mcp/tools/lateral_think_handler.py); it does not run an LLM rollout.

Step 4 — Branch on the handler's response shape

The handler picks one of two response shapes based on should_dispatch_via_plugin(...) (src/ouroboros/mcp/tools/subagent.py). You do not choose; you observe and act. The envelope key further depends on the mode you called with — solo and debate are not symmetric:

ModePlugin responseInline response
Solo (persona=...)single _subagent envelope (one object) — build_subagent_result in subagent.pysingle # Lateral Thinking: <approach> block in content
Debate (personas=[...])_subagents array (N objects) — build_multi_subagent_result in subagent.pyN blocks joined by \n\n---\n\n in content, plus an appended hidden dispatch block carrying the same canonical N payloads (see "Inline dispatch block" below)

Inline dispatch block (debate, inline response only). The handler appends a versioned, sentinel-bracketed dispatch block to the end of content as a compatibility fallback for clients and runtimes that consume only textual content. MCP SDK v2 preserves structured metadata, while the inline block lets text-only consumers recover the same canonical payloads (written by LateralThinkHandler.handle in src/ouroboros/mcp/tools/lateral_think_handler.py, read back by _inline_lateral_dispatch_payload in src/ouroboros/mcp/tools/subagent.py). Format:

<!-- ouroboros-lateral-inline-dispatch-v1 base64
<base64-encoded-JSON>
-->

Two pieces matter:

  • Hidden HTML comment — markdown viewers render nothing for <!-- ... -->, so the block doesn't pollute the human-visible output.
  • Base64 body — base64's alphabet is [A-Za-z0-9+/=], which can never produce the sequence -->. So even if a user-supplied problem_context or current_approach contains --> (HTML/JS debugging is the obvious case), the encoded body cannot prematurely close the wrapper and leak the dispatch into the visible markdown.

Decoded, the body is JSON. An MCP host that did not declare subagent capability receives the neutral shape:

json
{"dispatch_mode": "host_decides", "host_action": "dispatch_subagents_if_supported", "execution_preference": "parallel", "fallback_strategy": "sequential", "persona_count": N, "payloads": [...]}

An explicitly sequential execution authority receives dispatch_mode="sequential" with legacy_dispatch_mode="inline_fallback" for compatibility. To recover: locate the substring between <!-- ouroboros-lateral-inline-dispatch-v1 base64\n and \n--> at the end of content, base64-decode it, then JSON.parse.

Shape A — dispatch_mode = "plugin" (OpenCode plugin mode only)

The plugin runtime spawns Task panes automatically from whichever envelope the handler emitted. You only need to read the right key and await the result(s):

Solo (plugin)

The response carries a single _subagent object (singular) — {tool_name, title, prompt, agent, model, context} — produced by build_subagent_result (src/ouroboros/mcp/tools/subagent.py). The plugin spawns one Task pane. Await its single result, then present the persona's reframing.

Debate (plugin)

The response carries a _subagents array (plural) — [{tool_name, title, prompt, agent, model, context}, ...] — produced by build_multi_subagent_result (src/ouroboros/mcp/tools/subagent.py). The plugin spawns N Task panes in parallel. Await all N results, then synthesize per the Synthesize block below.

If you expected plugin mode but the response is inline text (neither _subagent nor _subagents), you are not actually in plugin mode — fall through to Shape B; do not wait for an envelope that will not arrive.

Shape B — inline response (Claude Code, Codex CLI, OpenCode subprocess, every other runtime)

The handler ran the prompt builder internally and returned ready-to-use markdown:

  • Solo response: a single # Lateral Thinking: <approach> block followed by the reframing prompt.
  • Debate response: N such blocks concatenated with \n\n---\n\n separators. The dispatch block distinguishes declared host_driven, capability-neutral host_decides, and explicit sequential execution.
Solo (any runtime)

Present the persona's approach summary, reframing prompt, questions to consider, and a ◆ Current state → next: suggestion routing back to the workflow.

Show full SKILL.md (835 more words)Show less
Debate, runtime supports sub-agent dispatch (Claude Code Task tool, Codex CLI sub-agent, etc.)

This is the default debate UX for Claude Code and Codex. The MCP call has already happened (Step 3), so the routing contract is satisfied; this step only changes how the already-built canonical prompts are rendered to the user.

Recover the structured dispatch from the inline dispatch block appended to content (see the "Inline dispatch block" note above the table). Each entry under payloads[] is a {tool_name, title, prompt, agent, model, context} dict; prompt is self-contained — it carries the same canonical reframing plus the "Task for you (subagent)" wrapper that plugin mode dispatches via _subagents (asking for a concrete plan, the biggest assumption challenged, and a one-line verdict). Same builder, byte-identical prompts across runtimes.

Driving fan-out from this dispatch block — instead of from the joined human-display text — avoids two pitfalls the bot review surfaced:

  • Separator collision — \n\n---\n\n can legitimately appear inside a user-supplied problem_context or current_approach, so splitting the joined text would over-fragment and corrupt prompts. The dispatch block uses a unique versioned sentinel that user content cannot collide with.
  • Behavioral drift across runtimes — the dispatch block carries the same canonical payloads _subagents carries, so debate results don't diverge by environment.
  1. Locate the dispatch block at the end of the MCP response's content text. Base64-decode the captured body, then JSON.parse to get {dispatch_mode, host_action, persona_count, payloads}. If the block is missing, fall through to the constrained-runtime path below — do not split the joined text.
  2. Surface a short "what the lateral toolkit suggests" header to the user, with the markdown above the dispatch block, so the MCP call is visible as a real product surface, not silent.
  3. If host_action="dispatch_subagents_if_supported", use the host's native parallel mechanism when available and otherwise process the same payloads sequentially. If host_action="spawn_subagents", spawn N persona subagents in parallel. Each child receives the payload's prompt verbatim plus its context, with strict isolation per child.
    • Claude Code → emit N Task calls (general-purpose subagent) in a single message so they run concurrently when the Task surface is available.
    • Codex → explicitly delegate one Codex subagent per payload in one turn; do not call a nonexistent multi_agent_v1.spawn_agent tool.
  4. Wait for all N to return.
  5. (Optional) Round 2 cross-attack — only if Round 1 answers diverge meaningfully. Dispatch a second N-fan-out where each persona receives short summaries of the other answers and is asked: "Identify one weakness in each. ≤200 words." Skip if Round 1 already converges.
  6. Synthesize per the Synthesize block below.
Debate, constrained runtime without sub-agent dispatch

If the response is stamped with dispatch_mode="sequential", or with dispatch_mode="host_decides" and the host has no native parallel primitive, process each payload in order. Correlate every result by result_correlation_key (normally context.persona), then synthesize after the last payload. Treat legacy_dispatch_mode="inline_fallback" as compatibility metadata only.

Debate, runtime cannot dispatch sub-agents (constrained subprocess, no Task surface)

Present the concatenated markdown the handler returned, as-is — no parsing required, the user reads the whole text. There is no per-persona visualization and no Round 2 cross-attack — both require a sub-agent surface. Synthesize directly from the inline text.

Synthesize (debate, all shapes)

Do not auto-emit a verdict. Present:

## Debate result — N personas

### Options
- **Option A** (from <persona>): <one-liner>
- **Option B** (from <persona>): <one-liner>
- …

### Disagreements
- <persona X> vs <persona Y>: <what they disagree about>

### Recommended (with reasoning)
<your single best read of the debate, clearly labeled as your
recommendation, not a verdict>

◆ Current state → next: pick an option, or `ooo lateral debate <subset>` to drill into a disagreement

The verdict is the user's. Never auto-progress to the next workflow step on the user's behalf — wait for their choice.

Persona-selection heuristics (when args are empty and you must pick one for solo)

You only need this if a parent SKILL or the user explicitly requests one persona but doesn't name one. In debate mode, no selection needed (use all 5).

  • Repeated similar failures → contrarian (challenge assumptions)
  • Too many options → simplifier (reduce scope)
  • Missing information → researcher (seek data)
  • Analysis paralysis → hacker (just make it work)
  • Structural issues → architect (redesign)

When MCP is unavailable

The contract is "fail loud, don't substitute": if ouroboros_lateral_think is not callable at all — neither already exposed nor loadable via discovery — stop and report that the MCP dispatch surface is broken. Do not improvise either solo or debate by reading persona files directly when MCP-driven invocation was requested — that re-introduces the contract bypass the bot review flagged.

The one exception, retained for documented offline use: a parent SKILL operating in degraded-offline mode that has already announced it cannot reach MCP MAY read src/ouroboros/agents/<persona>.md and adopt that persona inline for solo reframing. This is not a fallback for ooo lateral; it's a degraded helper for a parent SKILL that has already given up on MCP. Debate has no offline equivalent — report the broken surface and stop.

Examples

Solo
User: I'm stuck on the database schema design.
> ooo lateral simplifier

# Lateral Thinking: Reduce to Minimum Viable Schema
Start with exactly 2 tables. If you can't build the core feature
with 2 tables, you haven't found the core feature yet.

◆ Current state → next: try this, then `ooo run` — or `ooo interview` to re-examine.
Debate (default — Claude Code / Codex CLI)
> ooo lateral

[Step 2: Confirm problem_context + current_approach are present;
 ask the user one short combined question if not]
[runtime tool discovery loads ouroboros_lateral_think]
[Call ouroboros_lateral_think(personas=[hacker,researcher,simplifier,architect,contrarian], ...)]
[Handler returns: content = N persona blocks joined by ---,
                  followed by hidden <!-- ouroboros-lateral-inline-dispatch-v1 base64
                  <base64 body> --> sentinel block]
[Extract via the sentinel; base64-decode then JSON.parse → payloads[]]
[Spawn 5 parallel persona subagents — one per payloads[] entry — via the
 host's native mechanism (Claude: Task calls; Codex: explicit NL delegation);
 each child receives payload.prompt + payload.context verbatim;
 the visible markdown is shown to the user as the lateral scaffold]
[User sees "Running 5 agents…"]
[Round 1 returns]

## Debate result — 5 personas
### Options
- A (hacker): ship the 50-line version, defer correctness
- B (architect): the data model is wrong, redesign before coding
- C (simplifier): cut feature X, the rest fits in one file
- D (researcher): we don't have user data; instrument first
- E (contrarian): are users actually asking for this?

### Disagreements
- hacker vs architect: ship-first vs redesign-first
- contrarian vs all: whether the problem is real

### Recommended
Lean toward C+E: validate the need (E) before scoping (C); A and B
both assume the feature is wanted.

◆ Current state → next: pick an option, or `ooo lateral debate hacker contrarian` to drill in.
Autonomous chain from interview
[ooo interview mid-flow; main session is wearing the socratic-interviewer persona]
[Main session judges that the next question is too tangled — multiple
 reframings could be valid and asking the user to disambiguate would itself
 be confusing. It chains to this SKILL on its own.]

(autonomous) ooo lateral
[5-agent debate runs in parallel sub-agents; the user sees "Running 5 agents…"]
[Main session presents options + disagreements + a recommendation]
[User picks an option — or asks for a follow-up debate]
[Main session resumes the interview with the chosen framing]

Your final response MUST end with exactly one breadcrumb footer line:

◆ <current state> → next: <recommended action>

Derive <current state> from live session state via ouroboros_session_status when that MCP projection is available; otherwise derive it from this skill's actual outcome. Never use a linear Step N of M footer because Ouroboros is an evolutionary loop. When the next action is genuinely a choice, list 2-3 honest options in the next: clause. The breadcrumb line must be the last line of the response.

© Q00, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/unstuck of Q00/ouroboros.

Open the folder on GitHubat commit f587795

Compare with similar skills

Unstuck next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Unstuck compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Unstuck this skillQ00/ouroboros6.2k—~4.9kAutomated safety check: PassMIT
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Hook Development for Claude Code Pluginsanthropics/claude-plugins-official38k10 repos~4.1kAutomated safety check: NotesApache-2.0
Using Superpowersfarm-fe/farm5.6k35 repos~1.4kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers297k2 repos~5.1kAutomated safety check: PassMIT
Skill CreatorAzure/azqr79589 repos~8.2kAutomated safety check: PassApache-2.0

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Categories

Questions about Unstuck

What does Unstuck do?

Break through stagnation with lateral thinking personas — single or multi-persona debate. Unstuck is an agent skill from Q00/ouroboros.

When should I use Unstuck?

Unstuck fits situations like: agent Workflows work in your project.

How do I install Unstuck in Claude Code?

Run `npx skills add Q00/ouroboros --skill unstuck -a claude-code`. Or copy the skill folder (skills/unstuck in Q00/ouroboros) into .claude/skills/unstuck in your project. Claude Code loads it when a task matches its description.

How do I install Unstuck in Codex?

Run `npx skills add Q00/ouroboros --skill unstuck -a codex`. Or copy the skill folder (skills/unstuck in Q00/ouroboros) into .agents/skills/unstuck in your project. Codex loads it when a task matches its description.

Can I use Unstuck in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Q00/ouroboros --skill unstuck -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/unstuck, .gemini/skills/unstuck, .github/skills/unstuck and .opencode/skills/unstuck in your project.

What does Unstuck need to run?

SKILL.md names no scripts, command-line tools or credentials: Unstuck is instructions for the agent only.

Does Unstuck access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Unstuck safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Unstuck use?

Unstuck is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Unstuck use?

About 4.9k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Unstuck?

Skills that share tags, products or a category with Unstuck: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Unstuck?

Q00 (a GitHub user) maintains it in Q00/ouroboros, which has 6,194 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 7, 2026.

Source: Q00/ouroboros on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.